Evidence map›Paper›PMID 20981513›Full record

ArticleCerebellum (London, England)2012

Controlling Ca2+-activated K+ channels with models of Ca2+ buffering in Purkinje cells.

Haroon Anwar, Sungho Hong, Erik De Schutter

Open access · hybridAbstract read
In one paragraph

Article in Cerebellum (London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Electrophysiological classification ofFrontiers in pharmacology · 2025
    Article
  3. Article
  4. Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024
    Review
  5. Small-conductance calcium-activated potassium channels in the heart: expression, regulation and pathological implications.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. Article
  7. Modeling Neurons in 3D at the Nanoscale.Advances in experimental medicine and biology · 2022
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Two Distinct Sets of CaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  13. Article
  14. Concise Whole-Cell Modeling of BKBiophysical journal · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Modeling auditory coding: from sound to spikes.Cell and tissue research · 2015
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Haroon AnwarComputational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa, Japan. anwar@oist.jp
Sungho Hong
Erik De Schutter
Okinawa Institute of Science and Technology Graduate University · JPUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intracellular Ca(2+) concentrations play a crucial role in the physiological interaction between Ca(2+) channels and Ca(2+)-activated K(+) channels. The commonly used model, a Ca(2+) pool with a short relaxation time, fails to simulate interactions occurring at multiple time scales. On the other hand, detailed computational models including various Ca(2+) buffers and pumps can result in large computational cost due to radial diffusion in large compartments, which may be undesirable when simulating morphologically detailed Purkinje cell models. We present a method using a compensating mechanism to replace radial diffusion and compared the dynamics of different Ca(2+) buffering models during generation of a dendritic Ca(2+) spike in a single compartment model of a PC dendritic segment with Ca(2+) channels of P- and T-type and Ca(2+)-activated K(+) channels of BK- and SK-type. The Ca(2+) dynamics models used are (1) a single Ca(2+) pool; (2) two Ca(2+) pools, respectively, for the fast and slow transients; (3) detailed Ca(2+) dynamics with buffers, pump, and diffusion; and (4) detailed Ca(2+) dynamics with buffers, pump, and diffusion compensation. Our results show that detailed Ca(2+) dynamics models have significantly better control over Ca(2+)-activated K(+) channels and lead to physiologically more realistic simulations of Ca(2+) spikes and bursting. Furthermore, the compensating mechanism largely eliminates the effect of removing diffusion from the model on Ca(2+) dynamics over multiple time scales.

Indexed as

AlgorithmsBuffersCalciumCalcium Channels, P-TypeCalcium Channels, T-TypeCalcium SignalingComputer SimulationDendritesDiffusionHumansLarge-Conductance Calcium-Activated Potassium ChannelsModels, NeurologicalPotassium Channels, Calcium-ActivatedPurkinje CellsSmall-Conductance Calcium-Activated Potassium ChannelsBuffersCalciumCalcium Channels, P-TypeCalcium Channels, T-TypeLarge-Conductance Calcium-Activated Potassium ChannelsPotassium Channels, Calcium-ActivatedSmall-Conductance Calcium-Activated Potassium Channels

Identifiers

PMID20981513
PMCPMC3411306
OpenAlexW2058460982

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.